Výpis publikací

LAGRAA, Sofiane, Martin HUSÁK, Hamida SEBA, Satyanarayana VUPPALA, Radu STATE a Moussa OUEDRAOGO. A review on graph-based approaches for network security monitoring and botnet detection. International Journal of Information Security. Springer, 2024, roč. 23, č. 1, s. 119-140. ISSN 1615-5262. Dostupné z: https://dx.doi.org/10.1007/s10207-023-00742-7.

SADLEK, Lukáš, Martin HUSÁK a Pavel ČELEDA. Identification of Device Dependencies Using Link Prediction. Online. In NOMS 2024 - 2024 IEEE/IFIP Network Operations and Management Symposium. Seoul, South Korea: IEEE Xplore Digital Library, 2024, s. 1-10. ISBN 979-8-3503-2794-6. Dostupné z: https://dx.doi.org/10.1109/NOMS59830.2024.10575713.

HUSÁK, Martin, Mohamed-Lamine MESSAI a Hamida SEBA. The 5th International Workshop on Graph-based Approaches for CyberSecurity (GRASEC 2024). 2024.

HUSÁK, Martin. Theory and Practice of Cybersecurity Knowledge Graphs and Further Steps. In ARES 2024: The 19th International Conference on Availability, Reliability and Security. 2024.

HUSÁK, Martin, Shanchieh Jay YANG, Joseph KHOURY, Dorde KLISURA a Elias BOU-HARB. Unraveling Network-based Pivoting Maneuvers: Empirical Insights and Challenges. Online. In Sanjay Goel, Paulo Roberto Nunes de Souza. Digital Forensics and Cyber Crime. Cham: Springer, 2024, s. 132-151. ISBN 978-3-031-56582-3. Dostupné z: https://dx.doi.org/10.1007/978-3-031-56583-0_9.

HUSÁK, Martin, Pavol SOKOL, Martin ŽÁDNÍK, Václav BARTOŠ a Martin HORÁK. Lessons Learned from Automated Sharing of Intrusion Detection Alerts: The Case of the SABU Platform. Digital Threats: Research and Practice. Association for Computing Machinery, 2023, roč. 4, č. 4, s. 1-11. ISSN 2576-5337. Dostupné z: https://dx.doi.org/10.1145/3611391.

HUSÁK, Martin a Michal JAVORNÍK. Lightweight Impact Assessment and Projection of Lateral Movement and Malware Infection. Online. In 2023 IEEE Conference on Communications and Network Security (CNS). New York, NY: IEEE, 2023, s. 1-6. ISBN 979-8-3503-3945-1. Dostupné z: https://dx.doi.org/10.1109/CNS59707.2023.10288665.

HUSÁK, Martin, Joseph KHOURY, Ðorđe KLISURA a Elias BOU-HARB. On the Provision of Network-Wide Cyber Situational Awareness via Graph-Based Analytics. Online. In Pierre Collet, Latafat Gardashova, Samer El Zant, Ulviya Abdulkarimova. Complex Computational Ecosystems. Cham, Switzerland: Springer Nature, 2023, s. 167-179. ISBN 978-3-031-44354-1. Dostupné z: https://dx.doi.org/10.1007/978-3-031-44355-8_12.

LAŠTOVIČKA, Martin, Martin HUSÁK, Petr VELAN, Tomáš JIRSÍK a Pavel ČELEDA. Passive Operating System Fingerprinting Revisited: Evaluation and Current Challenges. Computer Networks. Netherlands: Elsevier, 2023, roč. 229, č. 109782, s. 1-12. ISSN 1389-1286. Dostupné z: https://dx.doi.org/10.1016/j.comnet.2023.109782.

BOUČEK, Vladimír a Martin HUSÁK. Recommending Similar Devices in Close Proximity for Network Security Management. Online. In 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). Montreal: IEEE, 2023, s. 481-484. ISBN 979-8-3503-3667-2. Dostupné z: https://dx.doi.org/10.1109/WiMob58348.2023.10187729.

HUSÁK, Martin, Mohamed-Lamine MESSAI a Hamida SEBA. The 4th International Workshop on Graph-based Approaches for CyberSecurity (GRASEC 2023). 2023.

HUSÁK, Martin. Complex Networks in Cybersecurity: Applications and Challenges. In ACONTA'22 : First European Conference on Augmented Complex Networks - Trustworthy Analysis. 2022.

HUSÁK, Martin, Lukáš SADLEK, Stanislav ŠPAČEK, Martin LAŠTOVIČKA, Michal JAVORNÍK a Jana KOMÁRKOVÁ. CRUSOE: A Toolset for Cyber Situational Awareness and Decision Support in Incident Handling. Computers & Security. Elsevier, 2022, roč. 115, April, s. 1-19. ISSN 0167-4048. Dostupné z: https://dx.doi.org/10.1016/j.cose.2022.102609.

ŽÁDNÍK, Martin, Jan WRONA, Karel HYNEK, Tomáš ČEJKA a Martin HUSÁK. Discovering coordinated groups of IP addresses through temporal correlation of alerts. IEEE Access. IEEE, 2022, roč. 10, č. 1, s. 82799-82813. ISSN 2169-3536. Dostupné z: https://dx.doi.org/10.1109/ACCESS.2022.3196362.

HUSÁK, Martin, Martin LAŠTOVIČKA a Tomáš PLESNÍK. Handling Internet Activism during the Russian Invasion of Ukraine: A Campus Network Perspective. Digital Threats: Research and Practice. New York, NY, USA: ACM, 2022, roč. 3, č. 3, s. "17:1-17:5", 5 s. ISSN 2692-1626. Dostupné z: https://dx.doi.org/10.1145/3534566.

ŠUĽAN, Samuel a Martin HUSÁK. Limiting the Size of a Predictive Blacklist While Maintaining Sufficient Accuracy. Online. In The 17th International Conference on Availability, Reliability and Security (ARES 2022). Vienna: ACM, 2022, s. "22:1"-"22:6", 6 s. ISBN 978-1-4503-9670-7. Dostupné z: https://dx.doi.org/10.1145/3538969.3539007.

JAVORNÍK, Michal a Martin HUSÁK. Mission-centric Decision Support in Cybersecurity via Bayesian Privilege Attack Graph. Engineering Reports. John Wiley & Sons, Inc, 2022, roč. 4, č. 12, s. "e12538", 25 s. ISSN 2577-8196. Dostupné z: https://dx.doi.org/10.1002/eng2.12538.

HUSÁK, Martin a Milan ČERMÁK. SoK: Applications and Challenges of using Recommender Systems in Cybersecurity Incident Handling and Response. Online. In The 17th International Conference on Availability, Reliability and Security (ARES 2022). Vienna: ACM, 2022, s. "25:1"-"25:10", 10 s. ISBN 978-1-4503-9670-7. Dostupné z: https://dx.doi.org/10.1145/3538969.3538981.

HUSÁK, Martin a Hamida SEBA. The 3rd International Workshop on Graph-based network Security (GraSec 2022). 2022.

MATTA, Lukáš a Martin HUSÁK. A Dashboard for Cyber Situational Awareness and Decision Support in Network Security Management. Online. In 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM). Bordeaux: IEEE, 2021, s. 716-717. ISBN 978-3-903176-32-4.

HUSÁK, Martin, Václav BARTOŠ, Pavol SOKOL a Andrej GAJDOŠ. Predictive Methods in Cyber Defense: Current Experience and Research Challenges. Future Generation Computer Systems. Elsevier, 2021, roč. 115, February, s. 517-530. ISSN 0167-739X. Dostupné z: https://dx.doi.org/10.1016/j.future.2020.10.006.

HUSÁK, Martin, Martin LAŠTOVIČKA a Daniel TOVARŇÁK. System for Continuous Collection of Contextual Information for Network Security Management and Incident Handling. Online. In ARES 2021: The 16th International Conference on Availability, Reliability and Security. Virtual Event: Association for Computing Machinery, 2021, s. 1-8. ISBN 978-1-4503-9051-4. Dostupné z: https://dx.doi.org/10.1145/3465481.3470037.

LAGRAA, Sofiane, Radu STATE, Hamida SEBA a Martin HUSÁK. The 2nd International Workshop on Graph-based network Security (GraSec 2021). 2021.

HUSÁK, Martin. Towards a Data-Driven Recommender System for Handling Ransomware and Similar Incidents. Online. In 2021 IEEE International Conference on Intelligence and Security Informatics (ISI). San Antonio: IEEE, 2021, s. 1-6. ISBN 978-1-6654-3838-4. Dostupné z: https://dx.doi.org/10.1109/ISI53945.2021.9624774.

HUSÁK, Martin, Giovanni APRUZZESE, Shanchieh YANG a Gordon WERNER. Towards an Efficient Detection of Pivoting Activity. Online. In 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM). Bordeaux: IEEE, 2021, s. 980-985. ISBN 978-3-903176-32-4.

HUSÁK, Martin, Martin ŽÁDNÍK, Václav BARTOŠ a Pavol SOKOL. Dataset of intrusion detection alerts from a sharing platform. Data in Brief. Elsevier, 2020, roč. 33, December, s. 1-12. ISSN 2352-3409. Dostupné z: https://dx.doi.org/10.1016/j.dib.2020.106530.

JAVORNÍK, Michal, Jana KOMÁRKOVÁ, Lukáš SADLEK a Martin HUSÁK. Decision Support for Mission-Centric Network Security Management. Online. In NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium. Budapest, Hungary: IEEE, 2020, s. 1-6. ISBN 978-1-7281-4973-8. Dostupné z: https://dx.doi.org/10.1109/NOMS47738.2020.9110261.

HUSÁK, Martin. Graph-based models in prediction and projection of cyber attacks. In The 1st International Workshop on Graph-based network Security. 2020.

LAŠTOVIČKA, Martin, Martin HUSÁK a Lukáš SADLEK. Network Monitoring and Enumerating Vulnerabilities in Large Heterogeneous Networks. Online. In NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium. Budapest, Hungary: IEEE Xplore Digital Library, 2020, s. 1-6. ISBN 978-1-7281-4973-8. Dostupné z: https://dx.doi.org/10.1109/NOMS47738.2020.9110394.

HUSÁK, Martin a Pavel ČELEDA. Predictions of Network Attacks in Collaborative Environment. Online. In NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium. Budapest, Hungary: IEEE, 2020, s. 1-6. ISBN 978-1-7281-4973-8. Dostupné z: https://dx.doi.org/10.1109/NOMS47738.2020.9110472.

HUSÁK, Martin, Tomáš BAJTOŠ, Jaroslav KAŠPAR, Elias BOU-HARB a Pavel ČELEDA. Predictive Cyber Situational Awareness and Personalized Blacklisting: A Sequential Rule Mining Approach. ACM Transactions on Management Information Systems. Association for Computing Machinery, 2020, roč. 11, č. 4, s. 1-16. ISSN 2158-656X. Dostupné z: https://dx.doi.org/10.1145/3386250.

LAŠTOVIČKA, Martin, Jakub Bartolomej KOŠUTH, Daniel FILAKOVSKÝ, Antonín DUFKA a Martin HUSÁK. Software pro evidenci zranitelností v počítačové síti. 2020.

SADLEK, Lukáš, Michal JAVORNÍK a Martin HUSÁK. Software pro podporu rozhodování při řešení bezpečnostního incidentu. 2020.

HUSÁK, Martin, Tomáš JIRSÍK a Shanchieh Jay YANG. SoK: Contemporary Issues and Challenges to Enable Cyber Situational Awareness for Network Security. Online. In Proceedings of the 15th International Conference on Availability, Reliability and Security. New York, NY, United States: Association for Computing Machinery, 2020, s. 1-10. ISBN 978-1-4503-8833-7. Dostupné z: https://dx.doi.org/10.1145/3407023.3407062.

MATTA, Lukáš a Martin HUSÁK. Webová aplikace pro vizualizaci bezpečnostní situace v počítačové síti. 2020.

HUSÁK, Martin a Jaroslav KAŠPAR. AIDA Framework: Real-Time Correlation and Prediction of Intrusion Detection Alerts. Online. In Proceedings of the 14th International Conference on Availability, Reliability and Security (ARES 2019). New York: ACM, 2019, s. "81:1"-"81:8", 8 s. ISBN 978-1-4503-7164-3. Dostupné z: https://dx.doi.org/10.1145/3339252.3340513.

BOU-HARB, Elias, Martin HUSÁK, Mourad DEBBABI a Chadi ASSI. Big Data Sanitization and Cyber Situational Awareness: A Network Telescope Perspective. IEEE Transactions on Big Data. IEEE, 2019, roč. 5, č. 4, s. 439-453. ISSN 2332-7790. Dostupné z: https://dx.doi.org/10.1109/TBDATA.2017.2723398.

JAVORNÍK, Michal, Jana KOMÁRKOVÁ a Martin HUSÁK. Decision Support for Mission-Centric Cyber Defence. Online. In Proceedings of the 14th International Conference on Availability, Reliability and Security (ARES 2019). New York: ACM, 2019, s. "34:1"-"34:8", 8 s. ISBN 978-1-4503-7164-3. Dostupné z: https://dx.doi.org/10.1145/3339252.3340522.

HORÁK, Martin, Václav STUPKA a Martin HUSÁK. GDPR Compliance in Cybersecurity Software: A Case Study of DPIA in Information Sharing Platform. Online. In Proceedings of the 14th International Conference on Availability, Reliability and Security (ARES 2019). New York: ACM, 2019, s. "36:1"-"36:8", 8 s. ISBN 978-1-4503-7164-3. Dostupné z: https://dx.doi.org/10.1145/3339252.3340516.

HUSÁK, Martin, Jaroslav KAŠPAR a Milan ŽIARAN. Software pro inteligentní analýzu bezpečnostních událostí (iABU). 2019.

HUSÁK, Martin, Jana KOMÁRKOVÁ, Elias BOU-HARB a Pavel ČELEDA. Survey of Attack Projection, Prediction, and Forecasting in Cyber Security. IEEE Communications Surveys & Tutorials. IEEE, 2019, roč. 21, č. 1, s. 640-660. ISSN 1553-877X. Dostupné z: https://dx.doi.org/10.1109/COMST.2018.2871866.

BARTOŠ, Václav, Martin ŽÁDNÍK, Pavel KROBOT, Lukáš HUTÁK, Martin HUSÁK, Jaroslav KAŠPAR a Petr VELAN. Systém pro sdílení a analýzu bezpečnostních událostí. 2019.

HUSÁK, Martin, Nataliia NESHENKO, Morteza SAFAEI POUR, Elias BOU-HARB a Pavel ČELEDA. Assessing Internet-wide Cyber Situational Awareness of Critical Sectors. Online. In Proceedings of the 13th International Conference on Availability, Reliability and Security. Hamburg: ACM, 2018, s. "29:1"-"29:6", 6 s. ISBN 978-1-4503-6448-5. Dostupné z: https://dx.doi.org/10.1145/3230833.3230837.

KOMÁRKOVÁ, Jana, Martin HUSÁK, Martin LAŠTOVIČKA a Daniel TOVARŇÁK. CRUSOE: Data Model for Cyber Situation Awareness. Online. In Proceedings of the 13th International Conference on Availability, Reliability and Security. Hamburg: ACM, 2018, s. "36:1"-"36:10", 10 s. ISBN 978-1-4503-6448-5. Dostupné z: https://dx.doi.org/10.1145/3230833.3232798.

NESHENKO, Nataliia, Martin HUSÁK, Elias BOU-HARB, Pavel ČELEDA, Sameera AL-MULLA a Claude FACHKHA. Data-Driven Intelligence for Characterizing Internet-scale IoT Exploitations. Online. In 2018 IEEE Globecom Workshops. Abu Dhabi: IEEE, 2018, s. 1-7. ISBN 978-1-5386-4920-6. Dostupné z: https://dx.doi.org/10.1109/GLOCOMW.2018.8644468.

VELAN, Petr, Martin HUSÁK a Daniel TOVARŇÁK. Rapid Prototyping of Flow-Based Detection Methods Using Complex Event Processing. Online. In NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium. Taipei, Taiwan: IEEE Xplore Digital Library, 2018, s. 1-3. ISBN 978-1-5386-3416-5. Dostupné z: https://dx.doi.org/10.1109/NOMS.2018.8406121.

HUSÁK, Martin a Jaroslav KAŠPAR. Towards Predicting Cyber Attacks Using Information Exchange and Data Mining. Online. In 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC). Limassol: IEEE, 2018, s. 536-541. ISBN 978-1-5386-2070-0. Dostupné z: https://dx.doi.org/10.1109/IWCMC.2018.8450512.

HUSÁK, Martin a Milan ČERMÁK. A Graph-based Representation of Relations in Network Security Alert Sharing Platforms. Online. In Prosper Chemouil, Edmundo Monteiro, Marinos Charalambides, Edmundo Madeira, Paulo Simões, Stefano Secci, Luciano Paschoal Gaspary, Carlos Raniery P. dos Santos. 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Lisbon: IEEE, 2017, s. 891-892. ISBN 978-3-901882-89-0. Dostupné z: https://dx.doi.org/10.23919/INM.2017.7987399.

HUSÁK, Martin, Milan ČERMÁK, Martin LAŠTOVIČKA a Jan VYKOPAL. Exchanging Security Events: Which And How Many Alerts Can We Aggregate?. Online. In Prosper Chemouil, Edmundo Monteiro, Marinos Charalambides, Edmundo Madeira, Paulo Simões, Stefano Secci, Luciano Paschoal Gaspary, Carlos Raniery P. dos Santos. 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Lisbon: IEEE, 2017, s. 604-607. ISBN 978-3-901882-89-0. Dostupné z: https://dx.doi.org/10.23919/INM.2017.7987340.

MEDKOVÁ, Jana, Martin HUSÁK, Martin VIZVÁRY a Pavel ČELEDA. Honeypot Testbed for Network Defence Strategy Evaluation. Online. In Prosper Chemouil, Edmundo Monteiro, Marinos Charalambides, Edmundo Madeira, Paulo Simões, Stefano Secci, Luciano Paschoal Gaspary, Carlos Raniery P. dos Santos. 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Lisbon: IEEE, 2017, s. 887-888. ISBN 978-3-901882-89-0. Dostupné z: https://dx.doi.org/10.23919/INM.2017.7987397.

SOKOL, Pavol, Jakub MÍŠEK a Martin HUSÁK. Honeypots and honeynets: issues of privacy. EURASIP Journal on Information Security. London: Springer Open, 2017, roč. 10, č. 4, s. 1-9. ISSN 1687-4161. Dostupné z: https://dx.doi.org/10.1186/s13635-017-0057-4.

MEDKOVÁ, Jana, Martin HUSÁK a Martin DRAŠAR. Network Defence Strategy Evaluation: Simulation vs. Live Network. Online. In Prosper Chemouil, Edmundo Monteiro, Marinos Charalambides, Edmundo Madeira, Paulo Simões, Stefano Secci, Luciano Paschoal Gaspary, Carlos Raniery P. dos Santos. 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Lisbon: IEEE, 2017, s. 81-88. ISBN 978-3-901882-89-0. Dostupné z: https://dx.doi.org/10.23919/INM.2017.7987267.

HUSÁK, Martin, Jaroslav KAŠPAR, Elias BOU-HARB a Pavel ČELEDA. On the Sequential Pattern and Rule Mining in the Analysis of Cyber Security Alerts. Online. In Proceedings of the 12th International Conference on Availability, Reliability and Security. Reggio Calabria: ACM, 2017, s. "22:1"-"22:10", 10 s. ISBN 978-1-4503-5257-4. Dostupné z: https://dx.doi.org/10.1145/3098954.3098981.

STUPKA, Václav, Martin HORÁK a Martin HUSÁK. Protection of personal data in security alert sharing platforms. Online. In Proceedings of the 12th International Conference on Availability, Reliability and Security. Reggio Calabria: ACM, 2017, s. "65:1"-"65:8", 8 s. ISBN 978-1-4503-5257-4. Dostupné z: https://dx.doi.org/10.1145/3098954.3105822.

HUSÁK, Martin, Milan ČERMÁK, Tomáš JIRSÍK a Pavel ČELEDA. HTTPS Traffic Analysis and Client Identification Using Passive SSL/TLS Fingerprinting. EURASIP Journal on Information Security. 2016, roč. 2016, č. 1, s. 1-14. ISSN 2510-523X. Dostupné z: https://dx.doi.org/10.1186/s13635-016-0030-7.

SOKOL, Pavol, Martin HUSÁK a František LIPTÁK. Deploying Honeypots and Honeynets: Issue of Privacy. In 2015 10th International Conference on Availability, Reliability and Security. Toulouse: IEEE, 2015, s. 397-403. ISBN 978-1-4673-6590-1. Dostupné z: https://dx.doi.org/10.1109/ARES.2015.91.

HUSÁK, Martin, Milan ČERMÁK, Tomáš JIRSÍK a Pavel ČELEDA. Network-based HTTPS Client Identification Using SSL/TLS Fingerprinting. In 2015 10th International Conference on Availability, Reliability and Security. Toulouse: IEEE, 2015, s. 389-396. ISBN 978-1-4673-6590-1. Dostupné z: https://dx.doi.org/10.1109/ARES.2015.35.

HUSÁK, Martin, Petr VELAN a Jan VYKOPAL. Security Monitoring of HTTP Traffic Using Extended Flows. In 2015 10th International Conference on Availability, Reliability and Security. Toulouse: IEEE, 2015, s. 258-265. ISBN 978-1-4673-6590-1. Dostupné z: https://dx.doi.org/10.1109/ARES.2015.42.

PAVOL, Sokol, Kleinová LENKA a Martin HUSÁK. Study of attack using honeypots and honeynets lessons learned from time-oriented visualization. Online. In EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), IEEE. Salamanca, Spain: IEEE, 2015, s. 225-230. ISBN 978-1-4799-8569-2. Dostupné z: https://dx.doi.org/10.1109/EUROCON.2015.7313713.

GHAFIR, Ibrahim, Martin HUSÁK a Václav PŘENOSIL. A Survey on Intrusion Detection and Prevention Systems. In Proceedings of student conference Zvůle 2014, IEEE/UREL. Zvůle, Czech Republic: Faculty of Electrical Engineering and Communication, Brno University of Technology, 2014, s. 10-14. ISBN 978-80-214-5005-9.

JIRSÍK, Tomáš, Martin HUSÁK, Pavel ČELEDA a Zdenek EICHLER. Cloud-based Security Research Testbed: A DDoS Use Case. In Hanan Lutfiyya and Piotr Cholda. Proceedings of the Network Operations and Management Symposium (NOMS 2014). Krakow, Poland: IEEE Xplore Digital Library, 2014, s. 1-2. ISBN 978-1-4799-0912-4. Dostupné z: https://dx.doi.org/10.1109/NOMS.2014.6838272.

HUSÁK, Martin a Jakub ČEGAN. PhiGARo: Automatic Phishing Detection and Incident Response Framework. In Availability, Reliability and Security (ARES), 2014 Ninth International Conference on. Fribourg, Switzerland: IEEE, 2014, s. 295-302. ISBN 978-1-4799-4223-7. Dostupné z: https://dx.doi.org/10.1109/ARES.2014.46.

HUSÁK, Martin a Jan VYKOPAL. POSTER: Dragging Attackers to Honeypots for Effective Analysis of Cybernetic Threats. 2014.

HUSÁK, Martin a Martin DRAŠAR. Flow-based Monitoring of Honeypots. In Jaroslav Dočkal, Milan Jirsa, Josef Kaderka. Security and Protection of Information 2013. Brno: Univerzita obrany, 2013, s. 63-70. ISBN 978-80-7231-922-0.

HUSÁK, Martin a Jan SOUKAL. libanim - JavaScript animation library. 2013.

HUSÁK, Martin a Martin VIZVÁRY. POSTER: Reflected attacks abusing honeypots. In Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security. New York, NY, USA: ACM, 2013, s. 1449-1452. ISBN 978-1-4503-2477-9. Dostupné z: https://dx.doi.org/10.1145/2508859.2512523.

DRAŠAR, Martin, Martin HUSÁK, Jakub ČEGAN, Martin VIZVÁRY, Milan ČERMÁK a Tomáš PLESNÍK. Systém pro automatizaci zpracování hlášení z nástrojů pro detekci anomálií. 2013.

HUSÁK, Martin a Jan VYKOPAL. Honeynet monitoring plugin. 2012.